Improved 0?1 programming model for optimal flow scheduling in irrigation canals

Wang, Zhi; Reddy, J. Mohan; Feyen, Jan

doi:10.1007/bf00881670

Cited by 33 publications

(19 citation statements)

References 3 publications

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“…The problem of clustering and sequencing outlets on a distributary channel to determine required quantity of water is described and formulated as a zero-one linear programming problem. Wang et al (1994) tried to re-solve the scheduling and allocation problem described by Suryavanshi and Reddy (1986) by modifying the objective function. The modification is made by taking one collective cost (for construction of a new canal or cost of water conveyance loss in an old canal) of the group of outlets working together rather than considering the cost of each individual outlet.…”

Section: Introductionmentioning

confidence: 99%

Water allocation and optimization of minor canal operation

Mohamed¹,

Ahmed²,

Abbas³

et al. 2010

ABJNA

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In this study a mathematical simulation of canal operation is presented for optimizing water allocation within a multiple crop rotation canal. Zero-one linear programming algorithm was made for optimal flow regulation and to optimize irrigation water allocation and sequencing of different outlets in the irrigation canal under the constraints of fixed canal capacity and irrigation interval. The model was coded in a personal computer using Excel -visual basic application language (VBA) and designed to serve as a decision-making tool for operating an existing canal or for appropriate sizing of canal capacity (flow rate and cross-sectional area) of a new one.The model is verified statistically in comparison with published models. The allocation model is applied to the real cases of wet and dry regions of Gezira Scheme -Sudan for sequencing canal outlets for the cases of early and peak season at Sunni Minor canal and Ugud Minor canal. The model sensitivity to changes in outlet inflow rate (working time per outlet) was made for the said two cases. This indicated the model capabilities to effectively provide a constant flow rate into the canal during the operating period, and consequently minimize the need to frequently adjust the settings of canal head regulator. The model capabilities to optimize water scheduling and allocation process can be used to save irrigation water during early stages of crop growth and to upgrade the operation of minor canals in the irrigated schemes in the Sudan.

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Section: Introductionmentioning

confidence: 99%

Water allocation and optimization of minor canal operation

Mohamed¹,

Ahmed²,

Abbas³

et al. 2010

ABJNA

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“…The objective was to schedule supplies as close as possible to the times requested by farmers. Anwar and Clarke (2001) built upon earlier work by Suryavanshi and Reddy (1986) and Wang et al (1995).…”

Section: Introductionmentioning

confidence: 95%

Application of genetic algorithms for irrigation water scheduling

Wardlaw¹,

Bhaktikul²

2004

Irrigation and Drainage

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The development of a genetic algorithm (GA) to solve an irrigation water scheduling problem is described. The objective is to optimize the utilization of water resources in irrigation systems operating on a rotational basis. An objective function for the water scheduling problem is presented along with constraints that relate to in-field soil moisture balances as well as canal capacities.The approach was applied to a simple and to a more complex test system. Solutions are presented using a GA in different formulations and comparisons made between these. Results demonstrate that GAs are capable of solving water scheduling problems, including those with water stress. In water stress conditions the GA approach can provide uniformity in soil moisture content in schemes within a system if formulated with a 0-1 approach.An application to the Pugal branch canal in the Indira Gandhi Nahar Pariyojana (IGNP) irrigation system in north-west India has demonstrated that the approach is robust and can produce appropriate schedules under extreme conditions of water stress. The GA approach is a useful tool for water scheduling in complex systems. Cette approche a été expérimentée sur un système-test simple et sur un plus complexe. Des solutions utilisant différentes formulations de l'algorithme sont présentées et comparées. Les résultats montrent que les AGs sont capables de résoudre les problèmes de programmation des tours d'eau y compris en présence de stress hydrique. Dans des conditions de stress hydrique, l'outil peut procurer une uniformité de teneur en l'eau du sol à l'intérieur d'un système avec une formulation booléenne.Une application sur le Pugal Branch Canal dans le système d'irrigation Indira Ghandi Nahar Pariyojana (IGNP) situé dans le nord-ouest de l'Inde a démontré que l'approche est solide et peut produire des résultats appropriés dans des conditions extrêmes de stress hydrique. L'approche de l'AG semble donc être un outil utile pour l'allocation de l'eau dans des systèmes complexes.

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“…However, the application of this model is limited to irrigation systems where the outlets along distributary have equal discharge capacity. Wang et al (1995) identified a minor shortcoming in the formulation proposed by Suryavanshi and Reddy (1986) and developed an improved model by introducing dummy variable called the 'activation function'. The objective function in this model is to minimise the sum of the activation function.…”

Section: Introductionmentioning

confidence: 99%

A binary particle swarm optimisation for generating optimal schedule of lateral canals

Mathur

Kumar²,

Pawde

2010

The IES Journal Part A: Civil & Structural Engineering

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A binary particle swarm optimisation (BPSO) algorithm is presented for generating the optimal schedule of irrigation lateral canals. The approach has been applied to the Ghusali distributary on the right bank canal of Upper Wardha dam in India as a case study. The objective is to supply the optimum quantity of water to the crop in the field so as to meet crop water requirement as per guidelines of Food and Agriculture Organization (FAO) paper 56 subject to the canal capacity constraint. The results show that schedule prepared for lateral canals provided efficient utilisation of water resources and maintaining the equity in water distribution.

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Improved 0?1 programming model for optimal flow scheduling in irrigation canals

Cited by 33 publications

References 3 publications

Water allocation and optimization of minor canal operation

Water allocation and optimization of minor canal operation

Application of genetic algorithms for irrigation water scheduling

A binary particle swarm optimisation for generating optimal schedule of lateral canals

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